Data Mining and WareHousing
-
Upload
vishakha-agarwal -
Category
Engineering
-
view
316 -
download
1
description
Transcript of Data Mining and WareHousing
![Page 1: Data Mining and WareHousing](https://reader036.fdocuments.us/reader036/viewer/2022081422/5584fb4fd8b42a8f078b499e/html5/thumbnails/1.jpg)
By-By-
Ms.Vishakha AgarwalMs.Vishakha Agarwal
(B-tech 3(B-tech 3rdrd yr , CSE) yr , CSE)
Roll no:1035210106Roll no:1035210106
![Page 2: Data Mining and WareHousing](https://reader036.fdocuments.us/reader036/viewer/2022081422/5584fb4fd8b42a8f078b499e/html5/thumbnails/2.jpg)
Data Warehousing and its need. Data Warehouse DBMS Vs. Data Warehouses Architecture Data Warehouse Components Data Warehouse -data characteristics Data Warehousing tools Advantages Disadvantages
We will discuss We will discuss about… about…
![Page 3: Data Mining and WareHousing](https://reader036.fdocuments.us/reader036/viewer/2022081422/5584fb4fd8b42a8f078b499e/html5/thumbnails/3.jpg)
Definition :- It is a technology that allows us to gather , store & present data in a form suitable for human exploration.
Need:- It was needed by big organizations for data analysis.
Data Warehousing and its Data Warehousing and its needneed
![Page 4: Data Mining and WareHousing](https://reader036.fdocuments.us/reader036/viewer/2022081422/5584fb4fd8b42a8f078b499e/html5/thumbnails/4.jpg)
It is a –
Subject-oriented Integrated Time-variant Non-volatile collection of data to support decision-making
process of an enterprise. It is a multi-dimensional model.
Data WarehouseData Warehouse
![Page 5: Data Mining and WareHousing](https://reader036.fdocuments.us/reader036/viewer/2022081422/5584fb4fd8b42a8f078b499e/html5/thumbnails/5.jpg)
DBMS Vs. Data DBMS Vs. Data WarehousesWarehouses
DBMS Focuses on present.
Use of atomic data. Each transaction
accesses only small amount of data.
Supports day-to-day operations.
Changing ,incomplete data.
Data Warehouse
Focuses on past , present and future.
Use of aggregate data. Most analysis targets
large amounts of data. Supports information
analysis. Static ,historic data.
![Page 6: Data Mining and WareHousing](https://reader036.fdocuments.us/reader036/viewer/2022081422/5584fb4fd8b42a8f078b499e/html5/thumbnails/6.jpg)
ArchitectureArchitecture
![Page 7: Data Mining and WareHousing](https://reader036.fdocuments.us/reader036/viewer/2022081422/5584fb4fd8b42a8f078b499e/html5/thumbnails/7.jpg)
There are four characteristics of data in data warehouses.
Subject-oriented Data
Integrated Data
Time-variant Data
Non-volatile Data
Granular Data
Data Warehouse-Data Data Warehouse-Data characteristicscharacteristics
![Page 8: Data Mining and WareHousing](https://reader036.fdocuments.us/reader036/viewer/2022081422/5584fb4fd8b42a8f078b499e/html5/thumbnails/8.jpg)
Extract transform load tools(ETL)
Data Warehousing Data Warehousing toolstools
Data cleaning
![Page 9: Data Mining and WareHousing](https://reader036.fdocuments.us/reader036/viewer/2022081422/5584fb4fd8b42a8f078b499e/html5/thumbnails/9.jpg)
Integration tool
Quality-management tool
Query tool
Reporting tool
Other tools…Other tools…
![Page 10: Data Mining and WareHousing](https://reader036.fdocuments.us/reader036/viewer/2022081422/5584fb4fd8b42a8f078b499e/html5/thumbnails/10.jpg)
Very large storage. Enhances end-user access to a wide variety of
data. Potentially lower computing costs and
increased productivity. Providing a place to combine related data from
separate sources. Security: data and access. Query processing: multiple options.
AdvantagesAdvantages
![Page 11: Data Mining and WareHousing](https://reader036.fdocuments.us/reader036/viewer/2022081422/5584fb4fd8b42a8f078b499e/html5/thumbnails/11.jpg)
It is a costly method.
Data warehouses can get outdated relatively
quickly.
Lack of flexibility.
Data warehouses are not the optimal environment
for unstructured data.
Difficult to accommodate changes in data types and
ranges, data source schema, indexes and queries.
DisadvantagesDisadvantages
![Page 12: Data Mining and WareHousing](https://reader036.fdocuments.us/reader036/viewer/2022081422/5584fb4fd8b42a8f078b499e/html5/thumbnails/12.jpg)